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Comparative Study of Artificial Neural Network Based Channel Equalization Methods for mmWave Communications
ArticleAbstract: In this paper, we compare two artificial neural networks (ANNs) approaches designed to perform channPalabras claves:5G and beyond, channel equalization, elm, mmWave communications, Multilayer Perceptron, OFDMAutores:Azpilicueta L., Diego Fernando Carrera, Noe M. Yungaicela-Naula, Vargas-Rosales C.Fuentes:scopusComparative study of channel estimators for massive MIMO 5G NR systems
ArticleAbstract: In this work, a comparative analysis is performed to study the bit error rate and error vector magniPalabras claves:Autores:Azpilicueta L., Diego Fernando Carrera, Galaviz-Aguilar J.A., Vargas-Rosales C.Fuentes:scopusA Wavelength-Dependent Visible Light Communication Channel Model for Underground Environments and Its Performance Using a Color-Shift Keying Modulation Scheme
ArticleAbstract: Reliable wireless communications are crucial for ensuring workers’ safety in underground tunnels andPalabras claves:color-shift keying modulation, Mie scattering and absorption, Underground mining visible light communication (UM-VLC), visible light communication (VLC) channel modeling, wavelength-dependent communication systemsAutores:Azurdia-Meza C.A., Becerra R., Diego Fernando Carrera, Ijaz M., Palacios Játiva P., Sandoval J., Soto I.Fuentes:scopusA flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
ArticleAbstract: Distributed Denial-of-Service (DDoS) attacks are difficult to mitigate with existing defense tools.Palabras claves:deep learning, Deep reinforcement learning, Intrusion detection system, mitigation, Slow rate DDoS, Software defined networkingAutores:Diego Fernando Carrera, Noe M. Yungaicela-Naula, Pérez-Díaz J.A., Vargas-Rosales C.Fuentes:scopusAchieving the performance of the MMSE receiver with the maximum ratio combiner
ArticleAbstract: In this article, we propose a new pilot mapping method to jointly estimate the channel state informaPalabras claves:Autores:Azpilicueta L., Diego Fernando Carrera, Fausto Granda, Vargas-Rosales C.Fuentes:googlescopusExtreme Learning Machine-Based Receiver for Multi-User Massive MIMO Systems
ArticleAbstract: An extreme learning machine (ELM)-based receiver for multi-user massive MIMO systems is introduced.Palabras claves:5G and beyond, elm, massive MIMO, OFDMAutores:Azurdia-Meza C.A., Diego Fernando Carrera, Vargas-Rosales C., Zabala-Blanco D.Fuentes:scopusNovel Multilayer Extreme Learning Machine as a Massive MIMO Receiver for Millimeter Wave Communications
ArticleAbstract: Wireless communication systems working in millimeter-wave (mmWave) frequency bands offer higher bandPalabras claves:5G NR, BEAMFORMING, Machine learning, massive MIMO, Millimeter wave, Multilayer ELMAutores:Azurdia-Meza C.A., Diego Fernando Carrera, Firoozabadi A.D., Marey M., Noe M. Yungaicela-Naula, Vargas-Rosales C., Zabala-Blanco D.Fuentes:scopusOn the Performance of Angular Diversity Receivers in Underground Mining VLC Systems
Conference ObjectAbstract: Visible Light Communications (VLC) have generated great interest in the scientific community in thePalabras claves:Angle diversity receiver (ADR), Inter-cell interference (ICI), underground mining (UM), visible light communication (VLC)Autores:Azurdia-Meza C.A., Diego Fernando Carrera, Ekpo S., Ijaz M., Pablo Palacios Játiva, Soto I., Zabala-Blanco D.Fuentes:scopusPerformance Improvement for Multi-User Millimeter-Wave Massive MIMO Systems
ArticleAbstract: In this paper, we study the problem of optimizing the performance of multi-user millimeter-wave (mmWPalabras claves:5G NR, Antenna array, BEAMFORMING, Channel estimation, massive MIMO, millimeter-waveAutores:Diego Fernando Carrera, Galaviz-Aguilar J.A., Vargas-Rosales C., Villalpando-Hernandez R.Fuentes:scopusPerformance analysis of IEEE 802.15.7-based visible light communication systems in underground mine environments
ArticleAbstract: Underground mining (UM) is an industry worldwide known for its hostile work environment; therefore,Palabras claves:Channel modeling, scattering, shadowing, underground mining, visible light communication (VLC)Autores:Azurdia-Meza C.A., Diego Fernando Carrera, Iván Sánchez, Milton Román-Cañizáres, Pablo Palacios Játiva, Seguel F., Zabala-Blanco D.Fuentes:scopus